The first on-device AI captioning tool that is fast, private, and incredibly accurate.
Everything you need to create perfect subtitles in a fraction of the time.
🔒 On-Device Processing
Never upload a private video. All AI transcription happens instantly on your Mac, ensuring total privacy.
✂ Dynamic Splitting
Break long sentences into readable segments with a single click, perfectly timed to match bigger subtitles.
🎨 Visual Layers
Organize complex dialogues with color-coded layers that make editing simple and intuitive. Fuse will adapt to it, no matter how many layers are used simultaneously.
🌍 One-Click Multi-Language Exports
Translate your final subtitles into multiple languages with a single click, ready for a global audience. It is that good. It is that easy. Pinky swear!
See what podcasters and video editors are saying about Fuse.
Rene Ritchie, Youtube Creator
“Fuse has allowed me to reach new audiences. The on-device processing is a game-changer for privacy.”
Zollotech, Youtube Creator
“The accuracy is mind-blowing, even with complex audio. The editing tools are so intuitive. I can’t imagine going back to my old process.”
Basic Apple Guy, Youtube Creator
“As a solo developer, I’m always looking for an edge. Fuse is it. It’s fast, reliable, and the dynamic splitting feature is pure genius.”
Answers to some of the most common questions about Fuse.
Fuse is built natively for Mac, leveraging on-device AI for faster, more private processing. It also includes unique features like visual layers and dynamic splitting that are not found in most competitors.
Fuse is optimized for Apple Silicon and requires macOS 15.5 or later. We recommend at least 16GB of unified memory for the best performance.
Some versions of intel Macs are compatible with Fuse. Please be aware that you are required to be running macOS 15.5 or later, and that this app has been built from the ground up for Apple Silicone devices, which might affect performance on Intel Macs.
Fuse leverages the power of Whisper, a state-of-the-art AI model from OpenAI, for transcription. This allows Fuse to deliver incredibly accurate and fast results directly on your device. By using this powerful, industry-leading technology, we can focus on providing a seamless user experience with powerful editing tools, all while ensuring your data remains private and secure.
Yes. Since all of our transcription and processing models run locally on your Mac, you can use Fuse completely offline.
Fuse supports all common audio and video formats, including MP4, MOV, WAV, and MP3, for import. Fuse is currently able to also export subtitle files to .srt and .vtt as they are the most common file type used worldwide. More extension supports will be added in future updates.
Yes. The free version of Fuse allows you to transcribe media up to 15 minutes long and export them to .srt. You can upgrade to a paid plan to remove these limitations and access more powerful models and features. The Fuse free plan is more than enough for the majority of users.
After editing the subtitles as desired, before export is complete, you can select from a list of available languages. The app will then use a on-device models to translate the text and generate a new subtitle file for each language, ready to use.
A lifetime license is a one-time purchase that gives you unlimited access to the app’s features and all future updates without a recurring subscription. Please visit pricing to see what each lifetime license offer.
Fuse is designed for high accuracy. On clean audio, it can achieve an estimated 98% accuracy out of the box. However, like any AI, its performance is influenced by the quality of the imported media. Audio with significant background noise or multiple overlapping speakers can affect transcription quality. For highly complex audio or professional projects, we recommend a quick review and edit to ensure every subtitle is perfect.
Fuse offers a range of models, each with a different balance of speed and accuracy to suit your needs.
Download Fuse from the Mac App Store today and experience the future of subtitling.